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Persistent URL http://purl.org/net/epubs/work/50205
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Record Id 50205
Title A DAG-based sparse Cholesky solver for multicore architectures
Contributors
Abstract In this paper, we describe the design and development of a new code for the solution of sparse symmetric positive-definite linear systems aimed primarily at multicore architectures. Our new Fortran 95/OpenMP code, HSL_MA67, is available as part of the sofware library HSL and extends to the sparse case the task DAG-based approach that is becoming popular in the design and development of dense linear algebra kernels. Comparisons are made with existing parallel solvers, using problems arising from a range of practical applications. We demonstrate thta HSL_MA87 obtains good serial and parallel times on an 8-core machine.
Organisation CSE , CSE-NAG , STFC
Keywords parallel , multicore , sparse symmetric linear systems , OpenMP , Fortran 95 , DAG-based , Cholesky factorization
Funding Information
Related Research Object(s): 60482 , 60479
Language English (EN)
Type Details URI(s) Local file(s) Year
Report RAL Technical Reports RAL-TR-2009-004. 2009. hrsRALTR2009004.pdf 2009
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